• Google Edge TPU ML accelerator
  •  4 TOPS total peak performance (int8)
  • 2 TOPS per watt
• USB 3.0 (USB 3.1 Gen 1) Type-C socket
• Supports Linux, Mac, and Windows on host CPU

The Coral USB Accelerator adds an Edge TPU coprocessor to your system. It includes a USB-C socket you can connect to a host computer to perform accelerated ML inferencing.
The on-board Edge TPU is a small ASIC designed by Google that accelerates TensorFlow Lite models in a power efficient manner: it’s capable of performing 4 trillion operations per second (4 TOPS), using 2 watts of power—that’s 2 TOPS per watt. For example, one Edge TPU can execute state-of-the-art mobile vision models such as MobileNet v2 at almost 400 frames per second. This on-device ML processing reduces latency, increases data privacy, and removes the need for a constant internet connection.